io.github.nesquikm/rubber-duck

MCPattested
v1.18.0io.github.nesquikmUnknownUpdated 4mo agonpmGitHub

Bridge to multiple LLMs and CLI agents: councils, debates, voting, and more

An MCP (Model Context Protocol) server that acts as a bridge to query multiple LLMs -- both OpenAI-compatible HTTP APIs and CLI coding agents. Just like rubber duck debugging, explain your problems to various AI "ducks" and get different perspectives! Universal OpenAI Compatibility -- Works with any OpenAI-compatible API endpoint CLI Agent Support -- Use CLI coding agents (Claude Code, Codex,…

Attested build
A verified provenance attestation binds this artifact to the listed repository. Nobody has claimed the listing yet — this proves where the code was built, not who stands behind it.
4mo agoLast update
Package
Authorio.github.nesquikm
LicenseUnknown
Version1.18.0
Sourcemcp-registry
npmmcp-rubber-duck
GitHubnesquikm/mcp-rubber-duck
Trust Status
A
85/100Trusted
✓Listed in Forge index+10/10
✓Identity verified · attested build+20/20
—Ed25519 publish signature+0/5
→ Included automatically when the publisher runs `forge publish`
—Domain verification+0/5
→ Publisher: host /.well-known/forge.json on the package homepage with { "publisher": "<github-login>" }
✓npm Trusted Publishing (Sigstore)+5/5
—npm maintainer match+0/5
→ Publisher: add the verified GitHub login to the npm package's maintainers (npm owner add <login>)
✓CVE scan · clean+30/30
✓Static analysis · clean+20/20
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusIdentity verified
PublisherUnverified
SignatureUnsigned
Domain—
Provenance✓ Sigstore-verified · d895c2e
Dependencies✓ 60 resolved+ · none vulnerable
Tool surface40 tools · none privileged
Security scan✓ Cleanv1.19.7 · 2mo ago
EvalsNone
IndexedJun 13, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.

About

An MCP (Model Context Protocol) server that acts as a bridge to query multiple LLMs -- both OpenAI-compatible HTTP APIs and CLI coding agents. Just like rubber duck debugging, explain your problems to various AI "ducks" and get different perspectives! Universal OpenAI Compatibility -- Works with any OpenAI-compatible API endpoint CLI Agent Support -- Use CLI coding agents (Claude Code, Codex, Gemini CLI, Grok, Aider) as ducks Multiple Ducks -- Configure and query multiple LLM providers…

Keywords
mcp